An Introduction to Statistical Learning: With Applications in RSpringer, 2017 - 426 Seiten This book presents some of the most important modeling and preddición tecniques. Include linear regression, classification, resampling methods, shrinkage approaches, tress-based methods, support vector machines, clustering and more. |
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An Introduction to Statistical Learning: with Applications in R Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani Eingeschränkte Leseprobe - 2013 |
An Introduction to Statistical Learning: with Applications in Python Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani,Jonathan Taylor Eingeschränkte Leseprobe - 2023 |
An Introduction to Statistical Learning: With Applications in Python Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani,Jonathan Taylor Keine Leseprobe verfügbar - 2023 |